Abstract: An approach is provided for predicting system performance. The approach operates by identifying a Queuing Network Model (QNM) corresponding to an information technology (IT) environment that includes a number of servers that perform a plurality of parallel services. The QNM is transformed to a linear model by serializing the parallel services as sequential services. Hardware based service demands are retrieved from the system. Software-based service demands are inferred from the hardware-based service demands. Predicted performance results of the IT environment are calculated based on the hardware-based service demands, the software-based service demands inferred from the hardware-based service demands, and the system transaction rate of the system.

Abstract: A Voice-over-IP (VOIP) system includes a plurality of multi-control units (MCUs). A first MCU in the VOIP system hosts a first VOIP session that joins a plurality of conference devices. Based on an impact metric being acceptable, and an alternate MCU accepting to host the VOIP session, the system joins the plurality of conference devices to a replacement VOIP session hosted on the alternate MCU.

Abstract: A computer-implemented method, computer program product, and computing system is provided for managing quality of experience for communication sessions. In an implementation, a method may include determining a participant focus metric for each of a plurality of participants of a communication session. The method may also include identifying one of the plurality of participants of the communication session as having sufficient capacity to support the communication session based upon, at least in part, the participant focus metric for each of the plurality of participants of the communication session. The method may also include selecting the one of the plurality of participants having a sufficient capacity to support the communication session as a selected focus for the communication session. The method may further include adaptively implementing a centralized communication session architecture utilizing the selected focus.

Abstract: An approach is provided for predicting system performance. The approach predicts system performance by identifying a Queuing Network Model (QNM) corresponding to a clustered system that handles a plurality of service demands using a plurality of parallel server nodes that process a workload for a quantity of users. A workload description is received that includes server demand data. Performance of the clustered system is predicted by transforming the QNM to a linear model by serializing the parallel services as sequential services, identifying transaction groups corresponding to each of the server nodes, and distributing the workload among the transaction groups across the plurality of nodes. The approach further solves analytically the linear model with the result being a predicted resource utilization (RU) and a predicted response time (RT).

Abstract: A computer-implemented method, computer program product, and computing system is provided for managing quality of experience for communication sessions. In an implementation, a method may include determining a participant focus metric for each of a plurality of participants of a communication session. The method may also include identifying one of the plurality of participants of the communication session as having sufficient capacity to support the communication session based upon, at least in part, the participant focus metric for each of the plurality of participants of the communication session. The method may also include selecting the one of the plurality of participants having a sufficient capacity to support the communication session as a selected focus for the communication session. The method may further include adaptively implementing a centralized communication session architecture utilizing the selected focus.

Abstract: A computer-implemented method, computer program product, and computing system is provided for managing quality of experience for communication sessions. In an implementation, a method may include determining a participant focus metric for each of a plurality of participants of a communication session. The method may also include identifying one of the plurality of participants of the communication session as having sufficient capacity to support the communication session based upon, at least in part, the participant focus metric for each of the plurality of participants of the communication session. The method may also include selecting the one of the plurality of participants having a sufficient capacity to support the communication session as a selected focus for the communication session. The method may further include adaptively implementing a centralized communication session architecture utilizing the selected focus.

Abstract: Dynamically identifying performance anti-patterns in a software system is based on a set of documented symptoms that are evaluated in real-time. The evaluation is based on the observed system behavior and its comparison against the documented symptoms of different types of performance issues.

Abstract: A Voice-over-IP (VOIP) system includes a plurality of multi-control units (MCUs). A first MCU in the VOIP system hosts a first VOIP session that joins a plurality of conference devices. Based on an impact metric being acceptable, and an alternate MCU accepting to host the VOIP session, the system joins the plurality of conference devices to a replacement VOIP session hosted on the alternate MCU.

Abstract: A Voice-over-IP (VOIP) system includes a plurality of multi control units (MCUs), in which a first MCU hosts a VOIP session. A method for recommending an MCU to host the VOIP session includes receiving MCU status associated with performance of each of the first MCU and a second MCU included in the VOIP system. The method further includes determining, based on the first and the second MCU status, that hosting the VOIP session on the second MCU can improve a VOIP system metric. According to the method, a recommendation is communicated to transfer hosting the VOIP session to the second MCU.

Abstract: Dynamically identifying performance anti-patterns in a software system is based on a set of documented symptoms that are evaluated in real-time. The evaluation is based on the observed system behavior and its comparison against the documented symptoms of different types of performance issues.

Abstract: Performance regression between a first version of an application and a second version of the application are detected using a comparison between transaction response times measured at a plurality of resource levels of a computer system. A first set of transaction response times (for the first version) are used to determine lower and upper limit line graphs. A new line graph determined from second set of transaction response times (for the second version) can be compared with the lower and upper limit line graphs to detect a performance regression.

Abstract: A method, system, and/or computer program product improve Voice over Internet Protocol (VoIP) call quality during a VoIP session. A VoIP session is established between an initial focus VoIP node and multiple slave VoIP nodes, where the initial focus VoIP node uses a first type of codec for the VoIP session. A user focus code score (UFCS) describes a VoIP call quality for each of the nodes based on predetermined network conditions related to use of a certain type of codec and nodal hardware specifications. The UFCSs are ranked to identify a highest-ranked VoIP node. The highest-ranked VoIP node is reclassified as a new focus VoIP node for the VoIP session, and the initial focus VoIP node is reclassified as a slave VoIP node. Thereafter, there is a simultaneous switching of 1) the focus and 2) the type of codec used in the VoIP session.

Abstract: A computer-implemented method, computer program product, and computing system is provided for managing quality of experience for communication sessions. In an implementation, a method may include determining a language spoken on a communication session. The method may also include selecting a codec for the communication session based upon, at least in part, the language spoken on the communication session. The method may further include transacting the communication session using the selected codec for the communication session.

Abstract: An improvement to the process for identifying software problems in performance testing is achieved by dynamically adjusting workloads in real-time to stress the functionality of an application suspected of causing a software problem.

Abstract: A method, system, and/or computer program product improve Voice over Internet Protocol (VoIP) call quality during a VoIP session. A VoIP session is established between an initial focus VoIP node and multiple slave VoIP nodes, where the initial focus VoIP node uses a first type of codec for the VoIP session. A user focus code score (UFCS) describes a VoIP call quality for each of the nodes based on predetermined network conditions related to use of a certain type of codec and nodal hardware specifications. The UFCSs are ranked to identify a highest-ranked VoIP node. The highest-ranked VoIP node is reclassified as a new focus VoIP node for the VoIP session, and the initial focus VoIP node is reclassified as a slave VoIP node. Thereafter, there is a simultaneous switching of 1) the focus and 2) the type of codec used in the VoIP session.

Abstract: Dynamically identifying performance anti-patterns in a software system is based on a set of documented symptoms that are evaluated in real-time. The evaluation is based on the observed system behavior and its comparison against the documented symptoms of different types of performance issues.

Abstract: A method for dynamically and adaptively monitoring a system based on its running behavior adjusts monitoring levels of the monitored application in real-time. A rules-based mechanism dynamically adjusts monitoring levels in real-time, based on the system's performance observed during a workload run, whether in a production or test environment.

Abstract: A computer-implemented method, computer program product, and computing system is provided for managing quality of experience for communication sessions. In an implementation, a method may include determining a language spoken on a communication session. The method may also include selecting a codec for the communication session based upon, at least in part, the language spoken on the communication session. The method may further include transacting the communication session using the selected codec for the communication session.

Abstract: A computer-implemented method, computer program product, and computing system is provided for managing quality of experience for video conferences. In an implementation, a method may include determining a capacity of a participant associated with a video conference. The method may also include determining a number of remote participants of the video conference. The method may further include implementing a video distribution architecture for the participant based upon, at least in part, the capacity of the participant and the number of remote participants. Implementing the video distribution architecture for the participant may include implementing a distributed architecture session for the participant if the capacity of the participant is greater than or equal to the number of remote participants of the video conference.

Abstract: A computer-implemented method, computer program product, and computing system is provided for managing quality of experience for communication sessions. In an implementation, a method may include determining a change in an optimum video size for a streaming video. The method may also include determining one or more constraints of resizing associated with the change in the desired video size. The method may further include adaptively resizing the streaming video to a current desired video size when the one or more constraints of resizing exceed a threshold value.